Senior ML Engineer

Revolutionize Logistics as an ML Engineer at Greenscreens.ai

Step into a pivotal role at Greenscreens.ai, where your expertise in machine learning will drive innovation in the logistics industry. As an ML Engineer, you will focus on developing and optimizing machine learning models to tackle complex business challenges. Your work will enhance model efficiency, scalability, and automation while advancing predictive capabilities. From managing infrastructure for training to implementing new business logic, your contributions will play a key role in shaping the future of ML-driven logistics solutions.

Your Key Responsibilities

This role offers diverse opportunities to make a significant impact, including:

• Researching new features to improve prediction accuracy and enhance business outcomes.
• Optimizing the Rate Engine through algorithm refinement, feature experimentation, and data filtering.
• Maintaining and monitoring deployed models to ensure high efficiency and precision.
• Automating machine learning pipelines to streamline workflows.
• Integrating models into company processes through complex Python-based business logic.
• Scaling model performance to meet high demands, focusing on memory and RPS optimization.

With an emphasis on tabular data, you’ll also contribute to refining predictive models, ensuring they align with client needs.

What You Bring to the Table

We’re looking for a skilled and experienced professional with:

• Technical Expertise: Proficiency in Python, SQL, and Git, along with knowledge of neural networks, time series, and gradient boosting.
• Mathematical Strength: Solid understanding of linear algebra, probability, and optimization techniques.
• Communication Skills: Advanced proficiency in both Russian and English is required to collaborate effectively across teams.
• Experience: At least 3 years in data science or machine learning roles.

Preferred Skills:

• Knowledge of unit testing, AWS S3, Docker, and Kubernetes.
• Participation in competitions like Kaggle or contributions to research papers.
• Experience in logistics and hyperparameter tuning.

Qualifications and Benefits

To thrive in this role, you should hold a Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field. Joining Greenscreens.ai means enjoying a range of benefits, including:

• Remote Flexibility: Work from anywhere globally, with the option to use our office in Vilnius. However, working from Russia or Belarus is restricted.
• Equity Opportunities: Participate in our options program to share in the startup's growth.
• Health Coverage: Annual private health insurance allowance.
• Paid Time Off: Up to four weeks of fully paid leave per year.

Why Greenscreens.ai?

Be part of a forward-thinking team where your skills will directly influence the evolution of logistics technology. At Greenscreens.ai, you’ll not only grow professionally but also make a tangible impact on an ever-evolving industry. Ready to take on the challenge? Apply today and shape the future of logistics with us!